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Field
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hypothermia to inform the optimal dose to be used in future efficacy studies. The Clinical Research Fellow will be involved in all aspects of the study, including recruitment, neurological assessment
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technologies into the grid. The successful candidate may also support analysis and development of microgrids for resiliency. This position may help other team members to help analyse, integrate, and optimize
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profiles using energy modelling tools • Build thermo-fluid dynamic models of HVAC and district cooling networks • Propose improved system architectures and network efficiency strategies • Design and validate
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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machine learning methods for computational materials physics and chemistry. Projects include: The aim is to develop generalized equivariant neural network models NequIP and Allegro for machine learned
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. Existing methods rely on fixed data and static models, which struggle to adapt to real-time changes and unpredictable conditions. This limits the ability to optimize energy storage use for critical
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limits the ability to optimize energy storage use for critical applications like emergency response, grid balancing, and off-grid power supply. The aim of this project is to develop a platform that will
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industry collaboration. FTMC provides a strong scientific base, international research networks, and the flexibility for doctoral students to develop independent, high-impact research. Topic The search
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optimization modeling. An ideal candidate would use their foundational knowledge of various modeling methods to develop and apply cutting-edge machine learning and data analysis techniques for assessing and
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. The exact (net) salary depends on the EU-defined country correction factor, and on local tax regulations (for additional information see EU MSCA website). Exact salary will be confirmed upon appointment